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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@lnksz
lnksz / tumcolors.md
Last active April 7, 2026 12:38
INOFFICIAL RGB and HEX color codes of TUM colors

INOFFICIAL Colors for Presentation (from 2017)

Name HEX RGB
Main colors
#0065bd TUMBlue #0065bd 0,101,189
#000000 Black #000000 0,0,0
#ffffff White #ffffff 255,255,255
Secondaries
#005293 DarkBlue #005293 0,82,147
@tatsuyasusukida
tatsuyasusukida / !README-javascript-audio.md
Last active April 7, 2026 12:35
🎵 How to record audio using the Web Audio API in JavaScript

🎵 How to record audio using the Web Audio API in JavaScript

Demo video: How to record audio using the Web Audio API in JavaScript

About this article

This article describes how to record audio using the Web Audio API in JavaScript. The related resources are shown below.